bulkinsert

问题 I am looking for different ways of performing bulk insert into database (e.g. SQL Server 2012) from a Java application. I need to insert lot of entities into database very efficiently without making as many calls to database as there are entities. My requirement is to perform a bulk insert of entities, where an insert of entity in database could involve inserting data into one or more tables. The following are the two ways which I can think of: Dynamically generate a batch of SQL statements

问题 I need to make a view which will support bulk inserting of objects. I am using the repository pattern with Entity Framework 4. Since there will be multiple individual models in the View, how do I handle binding the view's model to what get's sent to the Repository? How do I retreive the input values from the form into the controller? I have managed to do the view but I am unable to retrieve the data from controller. I used the folowing statement but after the post it heppens to be nul public

问题 I am designing an application, one aspect of which is that it is supposed to be able to receive massive amounts of data into SQL database. I designed the database stricture as a single table with bigint identity, something like this one: CREATE TABLE MainTable ( _id bigint IDENTITY(1,1) NOT NULL PRIMARY KEY CLUSTERED, field1, field2, ... ) I will omit how am I intending to perform queries, since it is irrelevant to the question I have. I have written a prototype, which inserts data into this

问题 Please bear with me as I explain the problem, how I tried to solve it, and my question on how to improve it is at the end. I have a 100,000 line csv file from an offline batch job and I needed to insert it into the database as its proper models. Ordinarily, if this is a fairly straight-forward load, this can be trivially loaded by just munging the CSV file to fit a schema; but, I had to do some external processing that requires querying and it's just much more convenient to use SQLAlchemy to

问题 My use case is to maintain an in-memory cache over the data stored in a persistent DB. I use the data to populate a list/map of entries on the UI. At any given time, the data displayed on the UI should be as updated as it is possible (well this can be done by the refresh frequency of the cache). Major difference between a regular cache implementation and this particular cache is that it needs a bulk refresh of all the elements at regular intervals and hence is pretty different from an LRU

问题 I am about to start on a journey writing a windows forms application that will open a txt file that is pipe delimited and about 230 mb in size. This app will then insert this data into a sql server 2005 database (obviously this needs to happen swiftly). I am using c# 3.0 and .net 3.5 for this project. I am not asking for the app, just some communal advise here and potential pitfalls advise. From the site I have gathered that SQL bulk copy is a prerequisite, is there anything I should think

问题 I want only a single notification after all the bulk insertion is done into database. Please provide an example to use bulkInsert() function. I cannot find a proper example on internet. Please Help!!!! 回答1: This is bulkInsert using ContentProvider. public int bulkInsert(Uri uri, ContentValues[] values){ int numInserted = 0; String table; int uriType = sURIMatcher.match(uri); switch (uriType) { case PEOPLE: table = TABLE_PEOPLE; break; } SQLiteDatabase sqlDB = database.getWritableDatabase();

问题 Java has the PreparedStatement addBatch + executeBatch to do multiple insertions efficiently. What is the fasted way to do a batch of inserts using php's mysqli extension? Thanks! 回答1: MySQL natively supports multiple insertions with one query. INSERT INTO [Table] ([Column List]) VALUES ([Value List 1]) , ([Value List 2]) [...] , ([Value List N]) 回答2: I realize this question is old, but for anyone else that comes across this, I found some useful information on this topic here: insert multiple

问题 I have this object with some metadata and a big array of items. I used to store this in mongo, and querying it by $unwind ing the array. However, in extreme cases, the array becomes so big that I run into 16MB BSON limitations. So I need to store each element of the array as a separate document. For that I need to add the metadata to all of them, so I can find them back. It is suggested that I use bulk operations for this. However, performance seems to be really slow. Inserting one big

问题 i am inserting data that looks like this: AA00000111 PSNH-OT J, SMITH 03/01/2011 10/11/1957 42 Male Hartford NH Lorazepam Benzodiazepines C AA00000151 PSNH-OT BEN, HARRY 03/06/2011 07/18/1969 42 Male Hartford NH Fentanyl Synthetic Opioids C AA00000151 PSNH-OT URA, HARRISON 03/06/2011 07/18/1969 29 Male Hartford NH Norfentanyl Synthetic Opioids C AA00000181 PSNH-OT WAYNE, GRIFFON 03/06/2011 09/01/1982 75 Female Hartford NH cTHC (Marijuana metabolite) Illicits C with this bulk insert: use